My Decision Tree Shows only one Node
hi
I want to use ratio gain decision tree.but I dont know any thing about"confidence parameter".
I want to know that in which formula it used?
and what is the best value for this parameter?
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another question is that does rapidminer support C5.0??
Best Answer
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hello @e_serkani_e - welcome to the community. Having a decision tree with one node usually implies that your decision tree is not a useful model. It's saying that no matter what the inputs, it is always going to one node.
As for learning about confidence levels, there are many resources out there. I would highly recommend looking at a book on data mining to get a full explanation. The one I used many years ago, "Data Mining for the Masses" is still a free e-book and can be found here. Dr. North just republished it in a 2nd edition which is quite nice. There is also "Predictive Analytics and Data Mining" by Kotu & Deshpande which is excellent. Both books have numerous examples of RapidMiner processes and detailed explanations of all parameters e.g. confidence levels.
Scott
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Altair EmployeeAnswers
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hello @e_serkani_e - welcome to the community. Having a decision tree with one node usually implies that your decision tree is not a useful model. It's saying that no matter what the inputs, it is always going to one node.
As for learning about confidence levels, there are many resources out there. I would highly recommend looking at a book on data mining to get a full explanation. The one I used many years ago, "Data Mining for the Masses" is still a free e-book and can be found here. Dr. North just republished it in a 2nd edition which is quite nice. There is also "Predictive Analytics and Data Mining" by Kotu & Deshpande which is excellent. Both books have numerous examples of RapidMiner processes and detailed explanations of all parameters e.g. confidence levels.
Scott
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thank you :smileyhappy:
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